Project description DEENESFRITPL Innovative algorithms revolutionise ultrasound breast cancer imaging Algorithms developed in the field of geophysical imaging can be used to enhance information from ultrasound imaging in medical applications. The adjoint-state modelling and iterative optimisation will provide quantitative images of human tissue with very high resolution. The EU-funded QUSTom project will investigate the possibility to apply the fundamental science behind adjoint-based uncertainty imaging for breast cancer diagnosis. This feasibility study of the technology as a diagnostic tool will cover the adaptation of data acquisition hardware for optimal resolution, application of the algorithms in high-performance computers, and final feasibility analysis by radiologists as a comparison with the current state-of-the-art imaging in breast cancer diagnostic. Show the project objective Hide the project objective Objective Ultrasound imaging can be deeply enhanced by means of algorithms developed in the field of geophysical imaging. Such algorithms, based upon adjoint-state modelling and iterative optimization, provide quantitative images of human tissue with very high resolution. At present time, such images can only be attained by means of high-performance computing and using specific ultrasound data acquisition devices. When combined, hardware and software have a huge impact potential for soft-tissue imaging, such as in breast cancer imaging. Nevertheless, and as is customary in medical imaging, the obtained images only provide with the mean, or most likely, values of tissue at each pixel, being uncertainty quantification an extremely expensive process, typically deemed as unfeasible for practical purposes. A revolutionary development in adjoint-based ultrasound imaging allows us to potentially obtain images of uncertainties at the cost of a single, mean-value, image. Such development will be the basis of transformative implications in terms of confidence-estimates for diagnosis. We aim at disrupting the breast cancer screening paradigm by means of a safe (radiation-free), accurate (quantitative) and reliable (uncertainty-aware) novel breast imaging modality.Within QUSTom we will investigate the fundamental science behind adjoint-based uncertainty imaging and establish its potential suitability for breast cancer diagnosis. The feasibility of the technology as a diagnosis tool relies on 1) adapting the data acquisition hardware for optimal resolution, 2) implementing the algorithms in high-performance computers in order to obtain a short time-to-solution and 3) feasibility analysis by expert radiologists in comparison with the state-of-the-art in breast imaging.This proposal covers the three aspects and opens the possibility of applying similar principles in other imaging fields, both in medicine and elsewhere. Fields of science natural sciencescomputer and information sciencessoftwaremedical and health sciencesclinical medicineoncologybreast cancerengineering and technologymedical engineeringdiagnostic imagingnatural sciencesphysical sciencesacousticsultrasound Keywords Ultrasound tomography full-waveform inversion uncertainty quantification breast cancer diagnosis breast cancer screening supercomputing Programme(s) HORIZON.3.1 - The European Innovation Council (EIC) Main Programme HORIZON.3.1.1 - The Pathfinder for Advanced Research Topic(s) HORIZON-EIC-2021-PATHFINDEROPEN-01-01 - EIC Pathfinder Open 2021 Call for proposal HORIZON-EIC-2021-PATHFINDEROPEN-01 See other projects for this call Funding Scheme HORIZON-EIC - HORIZON EIC Grants Coordinator BARCELONA SUPERCOMPUTING CENTER CENTRO NACIONAL DE SUPERCOMPUTACION Net EU contribution € 737 303,75 Address Calle jordi girona 31 08034 Barcelona Spain See on map Region Este Cataluña Barcelona Activity type Research Organisations Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 Participants (4) Sort alphabetically Sort by Net EU contribution Expand all Collapse all KARLSRUHER INSTITUT FUER TECHNOLOGIE Germany Net EU contribution € 977 875,00 Address Kaiserstrasse 12 76131 Karlsruhe See on map Region Baden-Württemberg Karlsruhe Karlsruhe, Stadtkreis Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 FUNDACIO HOSPITAL UNIVERSITARI VALL D'HEBRON - INSTITUT DE RECERCA Spain Net EU contribution € 400 871,25 Address Passeig vall d hebron 119-129 edificio de recerca 08035 Barcelona See on map Region Este Cataluña Barcelona Activity type Research Organisations Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 FRONTWAVE IMAGING SL Spain Net EU contribution € 424 250,00 Address Barcelona health hub pabellon de san manuel oficin calle sant antoni maria claret 167 08025 Barcelona See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Region Este Cataluña Barcelona Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 ARCTUR RACUNALNISKI INZENIRING DOO Slovenia Net EU contribution € 204 000,00 Address Industrijska cesta 1a 5000 Nova gorica See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Region Slovenija Zahodna Slovenija Goriška Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 Partners (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE United Kingdom Net EU contribution € 0,00 Address South kensington campus exhibition road SW7 2AZ London See on map Region London Inner London — West Westminster Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding No data
